research-article

An empirical investigation of software reuse benefits in a large telecom product

Authors:

Parastoo Mohagheghi,

Reidar ConradiAuthors Info & Claims

ACM Transactions on Software Engineering and Methodology (TOSEM), Volume 17, Issue 3

Article No.: 13, Pages 1 - 31

https://doi.org/10.1145/1363102.1363104

Published: 27 June 2008 Publication History

Abstract

Background. This article describes a case study on the benefits of software reuse in a large telecom product. The reused components were developed in-house and shared in a product-family approach. Methods. Quantitative data mined from company repositories are combined with other quantitative data and qualitative observations. Results. We observed significantly lower fault density and less modified code between successive releases of the reused components. Reuse and standardization of software architecture and processes allowed easier transfer of development when organizational changes happened. Conclusions. The study adds to the evidence of quality benefits of large-scale reuse programs and explores organizational motivations and outcomes.

References

[1]

Baldassarre, M. T., Bianchi, A., Caivano, D., and Visaggio, G. 2005. An industrial case study on reuse oriented development. In Proceedings of the 21st IEEE International Conference on Software Maintenance (ICSM'05), 283--292.

Digital Library

[2]

Basili, V. R. 1990. Viewing maintenance as reuse-oriented software development. IEEE Softw. 7, 1, 19--25.

Digital Library

[3]

Basili, V. R., Briand, L. C., and Melo, W. L. 1996. How software reuse influences productivity in object-oriented systems. Comm. ACM 39, 10, 104--116.

Digital Library

[4]

Bosch, J. 2000. Design and Use of Software Architecture: Adpoting and Evolving a Product-Line Approach. Addison-Wesley.

Digital Library

[5]

Böckle, G., Clements, P., Mcgregor, J. D., Muthig, D., and Schmid, K. 2004. Calculating ROI for software product lines. IEEE Software 21, 3, 23--31.

Digital Library

[6]

Clements, P. and Northrop, L. M. 2001. Software Product Lines: Practices and Patterns. Addison-Wesley.

Digital Library

[7]

Cooper, D. R. and Schindler, P. S. 2001. Business Research Methods. McGraw-Hill International, 7th edition.

[8]

Crnkovic, I. and Larsen, M. 2002. Building Reliable Component-Based Software Systems. Artech House Publishers.

Digital Library

[9]

Devanbu, P., Karstu, S., Melo, W., and Thomas, W. 1996. Analytical and empirical evaluation of software reuse metrics. In Proceedings of the 18th International Conference on Software Engineering (ICSE'96), 189--199.

Digital Library

[10]

Dybå, T., Kampenes, V., and Sjøberg, D. I. K. 2006. A systematic review of statistical power in software engineering experiments. J. Inform. Softw. Tech. 48, 8, 745--755.

[11]

Fenton, N. E. and Ohlsson, N. 2000. Quantitative analysis of faults and failures in a complex software system. IEEE Trans. Softw. Eng. 26, 8, 797--814.

Digital Library

[12]

Flyvbjerg, B. 2004. Five misunderstandings about case-study research. In Seale, C., Gobo, G., Gubrium, J. F. and Silverman, D. Qualitative Research Practice. London and Thousand Oaks, CA, Sage. 420--434.

[13]

Frakes, W. B. and Terry, C. 1996. Software reuse: metrics and models. ACM Comput. Surv. 28, 2, 415--435.

Digital Library

[14]

Frakes, W. B. and Succi, G. 2001. An industrial study of reuse, quality and productivity. J. Syst. Softw. 57, 99--106.

Digital Library

[15]

Gigerenzer, G. Mindless statistics. J. Socio-Eco. 33, 587--606.

[16]

Glass, R. L. 2001. Frequently forgotten fundamental facts about software engineering. IEEE Softw. 18, 3, 112, 110--111.

Digital Library

[17]

Glass, R. L. 2002. Predicting future maintenance cost, and how we're doing it wrong. IEEE Softw. 19, 6, 112, 111.

Digital Library

[18]

Graves, T. L., Karr, A. F., Marronm, J. S., and Siy, H. 2000. Predicting fault incidence using software change history. IEEE Trans. Softw. Eng. 26, 7, 653--661.

Digital Library

[19]

Hallsteinsen, S. and Paci, M. (Eds.) 1997. Experiences in Software Evolution and Reuse. IESE 2005. http://www.jese.fraunhofer.de/phg/iese/index.jsp Springer.

[20]

IESE. 2005. http://www.iese.fraunhofer.de/fhg/iese/index.jsp.

[21]

Jacobson, I. Griss, M., and Jonsson, P. 1997. Software Reuse: Architecture, Process and Organization for Business Success. ACM Press.

Digital Library

[22]

Johnson, R. E. and Foote, B. 1998. Designing reusable classes. J. Object-Oriented Prog. 1, 3, 26--49.

[23]

Karlsson, E.-A. (Ed.) 1995. Software Reuse, a Holistic Approach. John Wiley & Sons.

Digital Library

[24]

Kitchenham, B. A., Pickard, L., and Pfleeger, S. L. 1995. Case studies for method and tool evaluation. IEEE Softw. 12, 4, 52--62.

Digital Library

[25]

Kitchenham, B. A. and Pickard, L. M. 1998. Evaluating software engineering methods and tools, part 10: designing and running a quantitative case study. ACM SIGSOFT Softw. Eng. Notes 23, 3, 20--22.

Digital Library

[26]

Kitchenham, B. A., Kutay, C., Jeffery, R., and Connaughton, C. 2006. Lessons learned from the analysis of large-scale corporate databases. In Proceedings of the 28th International Conference on Software Engineering and Co-located Workshops (ICSE'06), Experience Papers, 439--444.

Digital Library

[27]

Kline, R. B. 2004. Beyond Significance Testing. Reforming Data Analysis Methods in Behavioural Research. American Psychological Association.

[28]

Krueger, C. 2002. Eliminating the adoption barrier. IEEE Softw. 19, 4, 29--31.

Digital Library

[29]

Lee, A. S. and Baskerville, R. L. 2003. Generalizing generalizability in information systems research. Inform. Syst. Res. 14, 3, 221--243.

Digital Library

[30]

Lim, W. C. 1996. Reuse economics: a comparison of seventeen models and directions for future research. In Proceedings of the 4th Intl Conference on Software Reuse (ICSR'96), 41--50.

Digital Library

[31]

Lim, W. C. 1994. Effect of reuse on quality, productivity and economics. IEEE Softw. 11, 5, 23--30.

Digital Library

[32]

Malaiya, K. Y. and Denton, J. 2000. Module size distribution and defect density. In Proceedings of the 11th International Symposium on Software Reliability Engineering (ISSRE'00), 62--71.

Digital Library

[33]

Mcgregor, J. D., Northrop, L. M., Jarred, S., and Pohl, K. 2002. Initiating software product lines. IEEE Softw. 19, 4, 24--27.

Digital Library

[34]

Mcilroy, D. 1969. Mass-produced software components. In Proceedings of Software Engineering Concepts and Techniques, 1968 NATO Conference on Software Engineering, Buxton, J.M., Naur, P., Randell, B. (eds.), 138--155, available through Petroceli/Charter, New York, 1969.

[35]

Mili, A., Fowler Chmiel, S., Gottumkkala, R., and Zhang, L. 2000. An integrated cost model for software reuse. In Proceedings of the 22nd International Conference on Software Engineering (ICSE'00), 157--166.

Digital Library

[36]

Mintzberg, H. 1993. Structure in Fives: Designing Effective Organizations. Prentice Hall. Cited in

[37]

Mockus, A., Zhang, P., and Li, P. L. 2005. Predictors of customer perceived software quality. In Proceedings of the 27th International Conference on Software Engineering (ICSE'05), 225--233.

Digital Library

[38]

Mohagheghi, P., Conradi, R., Killi, O. M., and Schwarz, H. 2004. An empirical study of software reuse vs. defect-density and stability. In Proceedings of the 26th International Conference on Software Engineering (ICSE'04), 282--292.

Digital Library

[39]

Mohagheghi, P. and Conradi, R. 2004. An empirical study of software change: origin, acceptance rate, and functionality vs. quality attributes. In Proceedings of the ACM-IEEE International Symposium on Empirical Software Engineering (ISESE'04), 7--16.

Digital Library

[40]

Mohagheghi, P. 2004. The Impact of Software Reuse and Incremental Development on the Quality of Large Systems. PhD thesis, NTNU, http://www.idi.ntnu.no/grupper/su/publ/phd/mohagheghi-thesis-10jul04-final.pdf. ISBN 82-471-6408-6.

[41]

Mohagheghi, P., Conradi, R., and Børretzen, J. A. 2006. Revisiting the problem of using problem reports for quality assessment. In Proceedings of the 28th International Conference on Software Engineering and Co-located Workshops (ICSE'06), 4th Workshop on Software Quality (WoSQ), 45--50.

Digital Library

[42]

Mohagheghi, P. and Conradi, R. 2007. Quality, productivity and economic benefits of software reuse: a review of industrial studies. Empir. Softw. Eng. J. 12, 15, 471--516.

Digital Library

[43]

Morisio, M., Romano, D., and Stamews, I. 2002. Quality, productivity, and learning in framework-based development: an exploratory case study. IEEE Trans. Softw. Eng. 28, 9, 876--888.

Digital Library

[44]

Ostrand, T. J. and Weyuker, E. J. 2002. The Distribution of faults in a large industrial software system. In Proceedings of the International Symposium on Software Testing and Analysis (ISSTA'02), ACM SIGSOFT Softw. Eng. Notes 27, 4, 55--64.

Digital Library

[45]

Ostrand, T. J., Weyuker, E. J., and Bell, R. M. 2004. Where the bugs are. In Proceedings of the International Symposium on Software Testing and Analysis (ISSTA'04), ACM SIGSOFT Softw. Eng. Notes 29, 4, 86--96.

Digital Library

[46]

Pfleeger, S. L. 2005. Soup or art&quest; The role of evidential force in empirical software engineering. IEEE Softw. 22, 1, 66--73.

Digital Library

[47]

Ramachandran, M. and Fleischer, W. 1996. Design for large scale software reuse: an industrial case study. In Proceedings of the 4th International Conference on Software Reuse (ICSR'96), 104--111.

Digital Library

[48]

Ramesh, V., Glass, R. L., and Vessey, I. 2004. Research in computer science: an empirical study. J. Syst. Softw. 70, 165--176.

Digital Library

[49]

Rational 2005. IBM Rational Software http://www-306.ibm.com/software/rational/

[50]

Rosenberg, J. 1997. Some misconceptions about lines of code. In Proceedings of the 4th International Symposium on Software Metrics (Metrics'97), 137--142.

Digital Library

[51]

Schwarz, H. and Killi, O. M. 2003. An Empirical Study of Quality Attributes of the GSN System at Ericsson. NTNU master's thesis, NTNU. http://www.idi.ntnu.no/grupper/su/su-diploma-2003/index.html

[52]

SEI 2005. http://www.sei.cmu.edu/.

[53]

Selby, W. 2005. Enabling reuse-based software development of large-scale systems. IEEE Trans. Softw. Eng. 31, 6, 495--510.

Digital Library

[54]

SEVO 2004. http://www.idi.ntnu.no/grupper/su/sevo/.

[55]

SPIQ - Software Process Improvement for better Quality 2000. http://www.geomatikk.no/spiq/.

[56]

Succi, G., Benedicenti, L., and Vernazza, T. 2001. Analysis of the effects of software reuse on customer satisfaction in an RPG environment. IEEE Trans. Softw. Eng. 27, 5, 473--479.

Digital Library

[57]

Thomas, W. M., Delis, A., and Basili, V. R. 1997. An analysis of errors in a reuse-oriented development environment. J. Syst. Softw. 38, 3, 211--224.

Digital Library

[58]

Yin, R. K. 2003. Case Study Research, Design and Methods. Sage Publications.

[59]

Zhang, W. and Jarzabek, S. 2005. Reuse without compromising performance: industrial experience from RPG software product line for mobile devices. In Proceedings of the 9th International Software Product Line Conference (SPLC'05), 57--69.

Digital Library

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Chen XUsman MBadampudi D(2024)Understanding and evaluating software reuse costs and benefits from industrial cases—A systematic literature reviewInformation and Software Technology10.1016/j.infsof.2024.107451171:COnline publication date: 1-Jul-2024
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An empirical investigation of software reuse benefits in a large telecom product

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cover image ACM Transactions on Software Engineering and Methodology

ACM Transactions on Software Engineering and Methodology Volume 17, Issue 3

June 2008

133 pages

ISSN:1049-331X

EISSN:1557-7392

DOI:10.1145/1363102

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Copyright © 2008 ACM.

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Publication History

Published: 27 June 2008

Accepted: 01 March 2007

Revised: 01 January 2006

Received: 01 February 2005

Published in TOSEM Volume 17, Issue 3

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Cited By

Chen XUsman MBadampudi D(2024)Understanding and evaluating software reuse costs and benefits from industrial cases—A systematic literature reviewInformation and Software Technology10.1016/j.infsof.2024.107451171:COnline publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1016/j.infsof.2024.107451
Tufano RAghajani EBavota G(2022)Don’t Reinvent the Wheel: Towards Automatic Replacement of Custom Implementations with APIs2022 IEEE International Conference on Software Maintenance and Evolution (ICSME)10.1109/ICSME55016.2022.00046(394-398)Online publication date: Oct-2022
https://doi.org/10.1109/ICSME55016.2022.00046
Daniakin KSpinellis DGousios GChechik MDi Penta M(2021)Overcoming metric diversity in meta-analysis for software engineering: proposed approach and a case study on its usage on the effects of software reuseProceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering10.1145/3468264.3473488(1677-1679)Online publication date: 20-Aug-2021
https://dl.acm.org/doi/10.1145/3468264.3473488
Berger TSteghöfer JZiadi TRobin JMartinez J(2020)The state of adoption and the challenges of systematic variability management in industryEmpirical Software Engineering10.1007/s10664-019-09787-625:3(1755-1797)Online publication date: 4-Apr-2020
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Grbac TRuneson PHuljenic D(2017)Unit Verification Effects on Reused Components in Sequential Project Releases2017 43rd Euromicro Conference on Software Engineering and Advanced Applications (SEAA)10.1109/SEAA.2017.63(74-82)Online publication date: Aug-2017
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